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Artificial Intelligence and Soft Computing 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part I
Title
Artificial Intelligence and Soft Computing [electronic resource] : 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part I / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada.
ISBN
9783031234927
Edition
1st ed. 2023.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2023.
Physical Description
1 online resource (XVIII, 439 p.) 117 illus., 91 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
The two-volume set LNAI 13588 and 13589 constitutes the refereed post-conference proceedings of the 21st International Conference on Artificial Intelligence and Soft Computing, ICAISC 2022, held in Zakopane, Poland, during June 19-23, 2022. The 69 revised full papers presented in these proceedings were carefully reviewed and selected from 161 submissions. The papers are organized in the following topical sections: Volume I: Neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; artificial intelligence in modeling and simulation. Volume II: Computer vision, image and speech analysis; data mining; various problems of artificial intelligence; bioinformatics, biometrics and medical applications.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
February 22, 2023
Series
Lecture Notes in Artificial Intelligence, 13588
Contents
Neural Networks and Their Applications
A fast learning algorithm for the multilayer neural network
A new computational approach to the Levenberg-Marquardt learning algorithm
Training subjective perception biased images of vehicle ambient lights with deep belief networks using backpropagation- and enforcing-rules supervised
An Empirical Study of Adversarial Domain Adaptation on Time Series Data
Human-AI-Collaboration to increase the perception of VR
Portfolio Transformer for Attention-Based Asset Allocation
Transfer Learning with Deep Neural Embeddings for Music Classification Tasks
Analysis and detection of DDoS Backscatter using NetFlow data, hyperband-optimised DeepLearning and explainability techniques
BiLSTM deep learning model for heart problems detection
Short Texts Representations for Legal Domain Classification
Synthetic slowness shear well-logs prediction using supervised machine learning models
ARIMA for Short-Term and LSTM for Long-Term in Daily Bitcoin Price Prediction
Multi-objective Bayesian Optimization for Neural Architecture Search
Multilayer Perceptrons with Banach-like Perceptrons Based on Semi-Inner Products - About Approximation Completeness
Fuzzy Systems and Their Applications
Similarity Fuzzy Semantic Networks and Inference. An application to analysis of radical discourse in Twitter
An Application of Information Granules to Detect Anomalies in COVID-19 Reports
Type-2 fuzzy classifier with smooth type-reduction
Evolutionary Algorithms and Their Applications
A multi-population-based algorithm with different ways of subpopulations cooperation
Automated Design of Dynamic Heuristic Set Selection for Cross-Domain Selection Hyper-Heuristics
Evolutionary Approach to Melodic Line Harmonization
Using Automatic Programming to Improve Gradient Boosting for Classification
Forced Movement Extensions of the Particle Swarm Optimizers with Inertia Weight
LQ-R-SHADE: R-SHADE with quadratic surrogate model
Pattern Classification
Overload Monitoring System Using Sound Analysis for Electrical Machines
Employing Convolutional Neural Networks for Continual Learning
Explaining Machine Learning Predictions In Botnet Detection
Learning Functional Descriptors Based on the Bernstein Polynomials - Preliminary Studies
Artificial Intelligence in Modeling and Simulation
Multiscale Multifractal Detrended Analysis of Speculative Attacks Dynamics in Cryptocurrencies
A Heuristic Repair Algorithm for the Hospitals/Residents problem with Ties
The Impact of Data Preprocessing on Prediction Effectiveness
Convergence of RBF Networks Regression Function Estimates and Classifiers
A Comparative Study of Genetic Programming Variants
Optimization of Parameterized Behavior Trees in RTS Games
Using Answer Set Programming to Improve Sensor Network Lifetime
Spectroscopy-Based Prediction of In Vitro Dissolution Profile Using Random Decision Forests
Validation of Labelling Algorithms for Abstract Argumentation Frameworks: The Case of Listing Stable Extensions.
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